Now showing items 1-20 of 22

    • A data-driven wall-shear stress model for LES using gradient boosted decision trees 

      Radhakrishnan, Sarath; Adu Gyamfi, Lawrence; Miró Jané, Arnau; Font García, Bernat; Calafell Sandiumenge, Joan; Lehmkuhl Barba, Oriol (Springer Nature, 2021)
      Conference report
      Open Access
      With the recent advances in machine learning, data-driven strategies could augment wall modeling in large eddy simulation (LES). In this work, a wall model based on gradient boosted decision trees is presented. The model ...
    • Active flow control for three-dimensional cylinders through deep reinforcement learning 

      Suárez Morales, Pol; Alcántara Ávila, Francisco; Miró Jané, Arnau; Rabault, Jean; Font García, Bernat; Lehmkuhl Barba, Oriol; Vinuesa Moltiva, Ricardo (European Research Community on Flow, Turbulence, and Conbustion (ERCOFTAC), 2023)
      Conference report
      Open Access
      This paper presents for the first time successful results of active flow control with multiple independently controlled zero-net-mass-flux synthetic jets. The jets are placed on a three-dimensional cylinder along its span ...
    • Data-driven wall modeling for LES involving non-equilibrium boundary layer effects 

      Radhakrishnan, Sarath; Calafell Sandiumenge, Joan; Miró Jané, Arnau; Font, Bernat; Lehmkuhl Barba, Oriol (Emerald Publishing Limited, 2024)
      Article
      Open Access
      Purpose Wall-modeled large eddy simulation (LES) is a practical tool for solving wall-bounded flows with less computational cost by avoiding the explicit resolution of the near-wall region. However, its use is limited in ...
    • Data-driven wall modeling for LES involving non-equilibrium boundary layer effects 

      Radhakrishnan, Sarath; Calafell Sandiumenge, Joan; Miró Jané, Arnau; Font García, Bernat; Lehmkuhl Barba, Oriol (2024-08-26)
      Article
      Open Access
      Purpose Wall-modeled large eddy simulation (LES) is a practical tool for solving wall-bounded flows with less computational cost by avoiding the explicit resolution of the near-wall region. However, its use is limited in ...
    • Deep reinforcement learning for flow control exploits different physics for increasing Reynolds number regimes 

      Varela Martínez, Pau; Suárez Morales, Pol; Alcántara Ávila, Francisco; Miró Jané, Arnau; Rabault, Jean; Font García, Bernat; García Cuevas, Luis Miguel; Lehmkuhl Barba, Oriol; Vinuesa Moltiva, Ricardo (Multidisciplinary Digital Publishing Institute (MDPI), 2022-12-02)
      Article
      Open Access
      The increase in emissions associated with aviation requires deeper research into novel sensing and flow-control strategies to obtain improved aerodynamic performances. In this context, data-driven methods are suitable for ...
    • DNS and POD analysis of separated flow in a three-dimensional diffuser 

      Miró Jané, Arnau; Eiximeno Franch, Benet; Rodríguez Pérez, Ivette María; Lehmkuhl Barba, Oriol (Springer, 2023)
      Conference report
      Restricted access - publisher's policy
      A DNS of a three dimensional diffuser has been performed with the in-house solver Alya. The resulting dataset presents a good agreement with existing numerical and experimental data, even without smoothing of the sharp ...
    • Flow and heat transfer of impinging synthetic jets 

      Miró Jané, Arnau (Universitat Politècnica de Catalunya, 2019-06-19)
      Doctoral thesis
      Open Access
      Synthetic jets are produced by the oscillatory movement of a membrane inside a cavity, causing fluid to enter and leave through a small orifice. This results in a net jet that is able to transfer kinetic energy and momentum ...
    • Flow separation in airfoils with rough leading edges 

      Kumar, Vishal; Miró Jané, Arnau; Lehmkuhl Barba, Oriol; Piomelli, Ugo (2023-05)
      Article
      Open Access
      In this study we consider the flow over airfoils with leading-edge roughness, designed to mimic the ice depositions that may occur on an aircraft in flight. The focus of this investigation is the effect of the angle of ...
    • Flow topology and heat transfer analysis of slotted and axisymmetric synthetic impinging jets 

      Miró Jané, Arnau; Soria Guerrero, Manel; Cajas García, Juan Carlos; Rodríguez Pérez, Ivette María; Moulinec, Charles (2021-06)
      Article
      Open Access
      This work is focused on exploring the flow and heat transfer capabilities for slotted and axisymmetric cavity configurations for synthetic impinging jets; the jet is enclosed between two isothermal parallel plates, impinging ...
    • HGS user manual 

      Soria Guerrero, Manel; Fuster, Caleb; Miró Jané, Arnau (Universitat Politècnica de Catalunya, 2022-10-01)
      Lecture notes
      Open Access
    • Impact of interannually variable diffuse attenuation coefficients for downwelling irradiance on biogeochemical modelling 

      Terzic, Elena; Stefano, Salon; Cossarini, Gianpiero; Solidoro, Cosimo; Teruzzi, Anna; Miró Jané, Arnau; Lazzari, Paolo (2021-05)
      Article
      Open Access
      Remotely sensed optical data are fundamental to be integrated into biogeochemical models, since the key role of the optical properties on lower trophic dynamics. In this paper, it is shown how ocean optics satellite products ...
    • NFP user manual 

      Soria Guerrero, Manel; Fuster, Caleb; Miró Jané, Arnau (Universitat Politècnica de Catalunya, 2022-10-01)
      Lecture notes
      Open Access
    • On the wake dynamics of an oscillating cylinder via proper orthogonal decomposition 

      Eiximeno Franch, Benet; Miró Jané, Arnau; Cajas García, Juan Carlos; Lehmkuhl Barba, Oriol; Rodríguez Pérez, Ivette María (Multidisciplinary Digital Publishing Institute (MDPI), 2022-09-02)
      Article
      Open Access
      The coherent structures and wake dynamics of a two-degree-of-freedom vibrating cylinder with a low mass ratio at Re=5300 are investigated by means of proper orthogonal decomposition (POD) of a numerical database generated ...
    • Radiative transfer modeling with BGC-Argo float data in the Mediterranean Sea 

      Terzic, Elena; Miró Jané, Arnau; Organelli, Emanuele; Kowalczuk, Piotr; D'Ortenzio, Fabrizio; Lazzari, Paolo (Wiley, 2021-10-04)
      Article
      Open Access
      A radiative transfer model was parameterized and validated using Biogeochemical Argo float data acquired between 2012 and 2017 across the Mediterranean Sea. Fluorescence-derived chlorophyll urn:x-wiley:21699275:media:jgr ...
    • Self-induced large-scale motions in a three-dimensional diffuser 

      Miró Jané, Arnau; Eiximeno Franch, Benet; Rodríguez Pérez, Ivette María; Lehmkuhl Barba, Oriol (Springer, 2024-01-01)
      Article
      Open Access
      A direct numerical simulation of a three-dimensional diffuser at Reynolds number Re = 10,000 (based on inlet bulk velocity) has been performed using a low-dissipation finite element code. The geometry chosen for this work ...
    • Study of advanced materials for thermal insulation in the inner Solar System 

      Miró Jané, Arnau (Universitat Politècnica de Catalunya, 2014-09)
      Master thesis (pre-Bologna period)
      Open Access
      Space harsh environmental condition often calls for an adequate thermal regulation and insulation. In this thesis, a thermal model for a greenhouse in Mars is presented. Its objectives are to achieve and maintain suitable ...
    • The origin of Jupiter's Great Red Spot 

      Sanchez Lavega, Agustin; García Melendo, Enrique José; Legarreta, Jon J.; Miró Jané, Arnau; Soria Guerrero, Manel; Ahrens Velásquez, Kevin (2024-06-28)
      Article
      Open Access
      Jupiter's Great Red Spot (GRS) is the largest and longest-lived known vortex of all solar system planets but its lifetime is debated and its formation mechanism remains hidden. G. D. Cassini discovered in 1665 the presence ...
    • Toward the usage of deep learning surrogate models in ground vehicle aerodynamics 

      Eiximeno Franch, Benet; Miró Jané, Arnau; Rodríguez Pérez, Ivette María; Lehmkuhl Barba, Oriol (Multidisciplinary Digital Publishing Institute (MDPI), 2024-03-27)
      Article
      Open Access
      This study introduces a deep learning surrogate model designed to predict the evolution of the mean pressure coefficient on the back face of a Windsor body across a range of yaw angles from 2.5◦ to 10◦ . Utilizing a ...
    • Towards a machine learning model for explicit algebraic Reynolds stress modelling using multi-expression programming 

      Miró Jané, Arnau; Wallin, Stefan; Colombo, Alessandro; Temmerman, Lionel; Wunsch, Dirk; Lehmkuhl Barba, Oriol (European Research Community on Flow, Turbulence, and Conbustion (ERCOFTAC), 2023)
      Conference report
      Open Access
      A novel framework for a 5-term explicit algebraic Reynolds stress model has been proposed, which is suitable for machine learning procedures. Under this framework, high-fidelity datasets have been explored and post-processed. ...
    • Towards a quantitative understanding of Robert's Rising Thermal Bubble as a benchmark for 3D atmospheric codes 

      Andrés Carcasona, Marc; Soria Guerrero, Manel; García Melendo, Enrique José; Miró Jané, Arnau (American Meteorological Society, 2023-02-01)
      Article
      Open Access
      Robert’s rising thermal bubble (RRTB) is a benchmark case used to assess atmospheric models. In this paper, RRTB is further studied both using an analytical and a numerical approach, improving to a greater extent the ...